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Interval Compositional Data: Problems and Possibilities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33151356" target="_blank" >RIV/61989592:15310/15:33151356 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-10765-3_4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >10.1007/978-3-319-10765-3_4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Interval Compositional Data: Problems and Possibilities

  • Original language description

    In statistics, compositional data are defined as multivariate observations that quantitatively describe contributions of parts on a whole, carrying exclusively relative information. As a consequence, compositions can be represented as proportions or percentages without loss of information (contained in ratios between parts). Nevertheless, in the practice parts of compositional data are frequently formed by intervals; for example, concentrations of chemical elements are provided not as exact numbers, butrather in an interval range. Intuitively, a natural question arises, whether the relative information is preserved, when the original compositional data with interval-valued parts are represented in proportions. Namely, from the arithmetic properties ofinterval data, normalizing of intervals does not simply follow the case of real values, but a special procedure according to constrained interval arithmetic is needed. The aim of the contribution is to discuss possibilities of representi

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Strengthening Links Between Data Analysis and Soft Computing

  • ISBN

    978-3-319-10764-6

  • Number of pages of the result

    8

  • Pages from-to

    29-36

  • Number of pages of the book

    294

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • UT code for WoS chapter